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Accelerating BEV Pooling on NVIDIA GPUs for Physical AI Applications

24 June 2026 at 16:30
An increasingly common design pattern for autonomous vehicles (AVs), robotics, and spatial AI systems is bird's-eye-view (BEV) perception. BEV models project...

An increasingly common design pattern for autonomous vehicles (AVs), robotics, and spatial AI systems is bird’s-eye-view (BEV) perception. BEV models project multicamera image features into a shared top-down grid, providing downstream perception and planning modules with a common spatial layout for reasoning about lanes, vehicles, pedestrians, and free space. A key operation in this pipeline…

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Inside NVIDIA Halos for Robotics: A Full-Stack Functional Safety System for Physical AI

Physical AIβ€”robots working autonomously alongside people in factories, warehouses, hospitals, and homesβ€”is arriving faster than most expected. Traditional...

Physical AIβ€”robots working autonomously alongside people in factories, warehouses, hospitals, and homesβ€”is arriving faster than most expected. Traditional safety which was built for structured environments can not work anymore as the spaces become more unstructured and robots move out of cages. AI-driven safety is the key. Marking a major milestone in the arrival of physical AI…

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How to Post-Train Autonomous Vehicle Models in Closed-Loop with NVIDIA Alpamayo

1 June 2026 at 04:49
Developing autonomous vehicle (AV) policies requires bridging an important gap between training and deployment. Vision-language-action (VLA) models that can...

Developing autonomous vehicle (AV) policies requires bridging an important gap between training and deployment. Vision-language-action (VLA) models that can reason over more complex driving scenes and produce richer intermediate reasoning are predominantly trained in open-loop, where model outputs are directly compared to ground-truth behaviors without considering their effect on the environment.

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Develop Physical AI Reasoning, World, and Action Models with NVIDIA Cosmos 3

1 June 2026 at 04:43
Physical AI systems must understand the real world before they can act within it. Robots, autonomous vehicles, and smart spaces need to understand what's...

Physical AI systems must understand the real world before they can act within it. Robots, autonomous vehicles, and smart spaces need to understand what’s happening in their world, predict what’s likely to happen next, and generate actions for specific environments, embodiments, and tasks. NVIDIA Cosmos 3 is a frontier foundation model for physical AI that combines physical reasoning…

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